Marktechpost

OCTOBER 19, 2024

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 102

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Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems. If you like our work, you will love our newsletter.

Large Language Models 109

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Marktechpost

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. Each approach brought specific innovations but remained limited in handling the comprehensive requirements of formal theorem proving.

Large Language Models 101

Large Language Models Metadata Inference Engine Automation 101

Marktechpost

OCTOBER 22, 2024

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length.

Large Language Models 113

Large Language Models Neural Network Inference Engine AI 113

Marktechpost

OCTOBER 17, 2024

Large Language Models (LLMs) have demonstrated remarkable proficiency in In-Context Learning (ICL), which is a technique that teaches them to complete tasks using just a few examples included in the input prompt and no further training. If you like our work, you will love our newsletter.

Large Language Models 109

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Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 112

Large Language Models Natural Language Processing Inference Engine LLM 112

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. Despite the promise of LLMs, many models struggle with balancing speed and accuracy. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 113

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Marktechpost

OCTOBER 16, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models appeared first on MarkTechPost.

Large Language Models 108

Large Language Models Neural Network Machine Learning Inference Engine 108

Marktechpost

OCTOBER 19, 2024

Large Language models (LLMs) have long been trained to process vast amounts of data to generate responses that align with patterns seen during training. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 104

Large Language Models Inference Engine AI AI 104

Marktechpost

OCTOBER 14, 2024

The problem with efficiently linearizing large language models (LLMs) is multifaceted. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.

LLM 120

LLM Large Language Models Inference Engine AI 120

Marktechpost

OCTOBER 27, 2024

NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing users to interact with a trained LLM as they would with any other cell in a notebook environment. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 16, 2024

Nvidia introduces the Nemotron 70B Model, built to offer a new benchmark in the realm of large language models (LLMs). In conclusion, Nvidia’s Nemotron 70B Model is poised to redefine the landscape of large language models, addressing critical gaps in efficiency, accuracy, and energy consumption.

Large Language Models 113

Large Language Models Inference Engine Generative AI AI 113

Marktechpost

OCTOBER 25, 2024

Accurate assessment of Large Language Models is best done with complex tasks involving long input sequences. This article explains the latest research that systematically investigates positional biases in large language models. Relative position introduces a bias in LLMs, thus affecting their performance.

Large Language Models 62

Large Language Models Inference Engine Explainability LLM 62

Marktechpost

OCTOBER 26, 2024

With large language models capable of handling complex game mechanics, character interactions, dynamic storytelling, and advanced visual models producing high-quality graphics based on prompts, we now have the tools to generate open-ended gameplay and evolving narratives. Don’t Forget to join our 55k+ ML SubReddit.

Generative AI 116

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Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks.

Artificial Intelligence 125

Artificial Intelligence Artificial Intelligence Automation Inference Engine 125

Marktechpost

OCTOBER 15, 2024

Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 57

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Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the inability to conduct faithful reasoning. These challenges stem from knowledge gaps, leading to factual errors during complex tasks. If you like our work, you will love our newsletter.

LLM 113

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Marktechpost

OCTOBER 23, 2024

Evaluations across multiple large language models (LLMs) have shown that SynthID-Text offers improved detectability compared to existing methods, while side-by-side comparisons with human reviewers indicate no loss in text quality. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 109

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Marktechpost

OCTOBER 20, 2024

Open Collective has recently introduced the Magnum/v4 series, which includes models of 9B, 12B, 22B, 27B, 72B, and 123B parameters. This release marks a significant milestone for the open-source community, as it aims to create a new standard in large language models that are freely available for researchers and developers.

Large Language Models 109

Large Language Models Natural Language Processing Inference Engine AI Developer 109

Marktechpost

OCTOBER 17, 2024

This requirement has prompted researchers to find effective ways to integrate real-time data and contextual understanding into Large Language Models (LLMs), which have difficulty interpreting real-world tasks. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

LLM 123

LLM Inference Engine Large Language Models Machine Learning 123

Marktechpost

OCTOBER 17, 2024

There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used.

LLM 113

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Marktechpost

OCTOBER 24, 2024

In PROVE, researchers use a high-fidelity scene graph representation constructed from hyper-detailed image captions and employ a large language model (LLM) to generate diverse question-answer (QA) pairs along with executable programs to verify each QA pair. This approach allows the creation of a benchmark dataset of 10.5k

AI Research 119

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Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). However, these models come with high computational costs for training and inference. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 113

Large Language Models Natural Language Processing Inference Engine LLM 113

Marktechpost

OCTOBER 18, 2024

The rapid growth of large language models (LLMs) has brought impressive capabilities, but it has also highlighted significant challenges related to resource consumption and scalability. LLMs often require extensive GPU infrastructure and enormous amounts of power, making them costly to deploy and maintain.

LLM 109

LLM Large Language Models Inference Engine ML 109

Marktechpost

OCTOBER 21, 2024

AI models are built upon large language models (LLMs), designed specifically for enterprise AI applications. These include 8B and 2B parameter-dense decoder-only models, which outperformed similarly sized Llama-3.1 2B and 8B AI Models for AI Enterprises appeared first on MarkTechPost.

AI Modeling 117

AI Modeling Large Language Models Natural Language Processing Inference Engine 117

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. Third, the method operates in a black-box manner, requiring only access to the model’s textual output, making it practical for real-world applications.

Large Language Models 113

Large Language Models Inference Engine LLM Algorithm 113

Marktechpost

OCTOBER 18, 2024

In an era where large language models are at the forefront of AI research, having access to a robust yet simple-to-use tool can make all the difference. The platform is not only about efficiency but also about enabling faster prototyping of ideas, allowing for quicker iteration and validation of new concepts.

LLM 113

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Marktechpost

OCTOBER 17, 2024

In particular, the release targets bottlenecks experienced in transformer models and LLMs (Large Language Models), the ongoing need for GPU optimizations, and the efficiency of training and inference for both research and production settings. With the latest PyTorch 2.5 Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 122

Machine Learning Neural Network Data Scientist Inference Engine 122

Marktechpost

OCTOBER 24, 2024

The rapid growth of large language models (LLMs) has brought significant advancements across various sectors, but it has also presented considerable challenges. 1B & 3B): Delivering Up To 2-4x Increases in Inference Speed and 56% Reduction in Model Size appeared first on MarkTechPost.

Large Language Models 120

Large Language Models NLP Natural Language Processing Inference Engine 120

Marktechpost

OCTOBER 15, 2024

To address these issues, a team of researchers from the University of Illinois Urbana-Champaign, Standford University and Microsoft Research Asia developed a self-play reinforcement learning framework, MentalArena, which is designed to train large language models (LLMs) specifically for diagnosing and treating mental health disorders.

Data Scarcity 109

Data Scarcity Inference Engine Large Language Models Machine Learning 109

Marktechpost

OCTOBER 22, 2024

Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. Combined with its progressive approach, the coarse-to-fine granularity of FunnelRAG reduces time overhead while maintaining retrieval performance.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, decision-making, and multi-step logical deductions. If you like our work, you will love our newsletter.

Machine Learning 117

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Marktechpost

OCTOBER 23, 2024

This allows these models to create very realistic images. Considering the major influence of autoregressive ( AR ) generative models, such as Large Language Models in natural language processing ( NLP ), it’s interesting to explore whether similar approaches can work for images.

Natural Language Processing 111

Natural Language Processing Inference Engine NLP Large Language Models 111

Marktechpost

OCTOBER 21, 2024

Large language models (LLMs) can understand and generate human-like text across various applications. In conclusion, the research presented through MIND introduces a transformative approach to improving the mathematical reasoning capabilities of large language models.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 18, 2024

Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an LLM, and then convert the output back to speech via TTS. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 120

Inference Engine Large Language Models AI AI 120

Marktechpost

OCTOBER 16, 2024

The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 101

Inference Engine Large Language Models OpenAI AI 101